[DEM] Sequential Label Sequential Label is designed to display sequential counting methodology directly on the price chart by placing dynamic labels below each bar that show the current Sequential count value. The indicator implements a sequential system by tracking consecutive closes above or below the close from four periods ago, calculating separate upward and downward sequences, then displaying the net difference as a numbered label with color-coded backgrounds (green for positive/bullish counts, red for negative/bearish counts). Each label shows the absolute value of the current Sequential position and automatically updates and repositions with each new bar, providing traders with a real-time visual representation of momentum exhaustion cycles and potential reversal points according to sequential methodology without cluttering the chart with permanent markings.
Analisis Trend
Blueprint Signals ProBlueprint Signals Pro is an advanced, all-in-one trading indicator designed for TradingView, built to provide high-quality buy/sell signals across various markets including cryptocurrencies, U.S. stocks, Indian indices, forex, and more. 📈 It leverages a proprietary ATR-based trailing stop mechanism combined with AI-optimized profiles for different trading styles (scalping, intraday, swing, and position trading) to generate reliable signals on bar close.
Key Features:
📊 Market Optimization: Tailored options for specific markets like Cryptocurrency (high volatility, 24/7 trading), U.S. Stocks (regulated exchanges, standard hours), Indian Indices (local dynamics like NIFTY), and Forex (high liquidity, global influences) to customize parameters and enhance signal accuracy.
🎨 Theme & Palette Customization: Supports dark/light chart themes with multiple color palettes for visual appeal.
🤖 Trading Profiles: Pre-built AI profiles like "Edge Signal", "Flash Signal", "Trend Rider", etc., tailored to your timeframe and style.
🔍 Signal Filters: Bullish/Bearish modes to focus on one-sided signals, with adjustable candle opacity.
🛡️ Support/Resistance Zones: Dynamic S/R levels with auto-adjusting lookback and wick warning markers for potential reversals.
⚠️ Swing Pattern Failure (SPF): Detects failure patterns with volume and wick filters for early reversal alerts.
🚨 Warnings: Proximity and wick-touch alerts on the trailing stop to signal momentum loss or trend challenges.
💡 Premium/Discount Zones: Neon-style P&D zones with glow effects to identify overvalued/undervalued areas.
📉 Custom Moving Averages: Up to 3 configurable MAs (EMA/SMA/WMA/HMA) with theme-based colors.
⚙️ Core Parameters: Manual/auto-tuning for scaling factor, period, min move filter, and anti-chop sensitivity.
⭐ Confidence Rating: Scores signals (Weak/Moderate/Strong) based on trend, S/R proximity, and volume.
🎯 SL/TP Levels: Displays stop loss (ATR trail, swing, or fixed ATR) and multiple take profits with R:R ratios, extendable lines, and zone fills. Additionally, clearly shows captured points/pips (e.g., +50 pts) and potential profit in points/pips/₹ for each level, making risk-reward analysis straightforward and visible on the chart.
🖥️ Display Options: Toggle trailing stop, text on signals, and more.
📅 Dashboard: Multi-timeframe overview with trend intelligence (using ADX), confidence, and candle timer.
🔔 Alerts: Configurable for buy/sell signals with detailed messages.
Usage Guidelines:
Select your market, theme, and trading style from the inputs.
Use on any timeframe; auto-adjusts for optimal performance.
Signals are confirmed on bar close to avoid repainting.
Combine with your risk management; backtest thoroughly.
This indicator is for educational and informational purposes only. Past performance is not indicative of future results. Trade at your own risk. © 2025 Raza | Blueprint Signals. All Rights Reserved.
[DEM] Sequential Identifying Table Sequential Identifying Table is designed to monitor Sequential methodology across up to 20 customizable symbols simultaneously, displaying buy and sell signals in a comprehensive dashboard format overlaid on the price chart. The indicator implements a sequential counting system, which tracks consecutive closes above or below the close from four periods ago, generating buy signals when a downward sequence reaches 8 (indicating potential exhaustion and reversal upward) and sell signals when an upward sequence reaches 8 (indicating potential exhaustion and reversal downward). The table displays each symbol with color-coded backgrounds (green for buy signals, red for sell signals, gray for no signal) and corresponding signal text, operating on a selectable timeframe from 1-minute to monthly intervals, allowing traders to quickly scan multiple assets for sequential setups without switching between different charts or timeframes.
Information Flow Analysis[b🔄 Information Flow Analysis: Systematic Multi-Component Market Analysis Framework
SYSTEM OVERVIEW AND ANALYTICAL FOUNDATION
The Information Flow Kernel - Hybrid combines established technical analysis methods into a unified analytical framework. This indicator systematically processes three distinct data streams - directional price momentum, volume-weighted pressure dynamics, and intrabar development patterns - integrating them through weighted mathematical fusion to produce statistically normalized market flow measurements.
COMPREHENSIVE MATHEMATICAL FRAMEWORK
Component 1: Directional Flow Analysis
The directional component analyzes price momentum through three mathematical vectors:
Price Vector: p = C - O (intrabar directional bias)
Momentum Vector: m = C_t - C_{t-1} (bar-to-bar velocity)
Acceleration Vector: a = m_t - m_{t-1} (momentum rate of change)
Directional Signal Integration:
S_d = \text{sgn}(p) \cdot |p| + \text{sgn}(m) \cdot |m| \cdot 0.6 + \text{sgn}(a) \cdot |a| \cdot 0.3
The signum function preserves directional information while absolute values provide magnitude weighting. Coefficients create a hierarchy emphasizing intrabar movement (100%), momentum (60%), and acceleration (30%).
Final Directional Output: K_1 = S_d \cdot w_d where w_d is the directional weight parameter.
Component 2: Volume-Weighted Pressure Analysis
Volume Normalization: r_v = \frac{V_t}{\overline{V_n}} where \overline{V_n} represents the n-period simple moving average of volume.
Base Pressure Calculation: P_{base} = \Delta C \cdot r_v \cdot w_v where \Delta C = C_t - C_{t-1} and w_v is the velocity weighting factor.
Volume Confirmation Function:
f(r_v) = \begin{cases}
1.4 & \text{if } r_v > 1.2 \
0.7 & \text{if } r_v < 0.8 \
1.0 & \text{otherwise}
\end{cases}
Final Pressure Output: K_2 = P_{base} \cdot f(r_v)
Component 3: Intrabar Development Analysis
Bar Position Calculation: B = \frac{C - L}{H - L} when H - L > 0 , else B = 0.5
Development Signal Function:
S_{dev} = \begin{cases}
2(B - 0.5) & \text{if } B > 0.6 \text{ or } B < 0.4 \
0 & \text{if } 0.4 \leq B \leq 0.6
\end{cases}
Final Development Output: K_3 = S_{dev} \cdot 0.4
Master Integration and Statistical Normalization
Weighted Component Fusion: F_{raw} = 0.5K_1 + 0.35K_2 + 0.15K_3
Sensitivity Scaling: F_{master} = F_{raw} \cdot s where s is the sensitivity parameter.
Statistical Normalization Process:
Rolling Mean: \mu_F = \frac{1}{n}\sum_{i=0}^{n-1} F_{master,t-i}
Rolling Standard Deviation: \sigma_F = \sqrt{\frac{1}{n}\sum_{i=0}^{n-1} (F_{master,t-i} - \mu_F)^2}
Z-Score Computation: z = \frac{F_{master} - \mu_F}{\sigma_F}
Boundary Enforcement: z_{bounded} = \max(-3, \min(3, z))
Final Normalization: N = \frac{z_{bounded}}{3}
Flow Metrics Calculation:
Intensity: I = |z|
Strength Percentage: S = \min(100, I \times 33.33)
Extreme Detection: \text{Extreme} = I > 2.0
DETAILED INPUT PARAMETER SPECIFICATIONS
Sensitivity (0.1 - 3.0, Default: 1.0)
Global amplification multiplier applied to the master flow calculation. Functions as: F_{master} = F_{raw} \cdot s
Low Settings (0.1 - 0.5): Enhanced precision for subtle market movements. Optimal for low-volatility environments, scalping strategies, and early detection of minor directional shifts. Increases responsiveness but may amplify noise.
Moderate Settings (0.6 - 1.2): Balanced sensitivity for standard market conditions across multiple timeframes.
High Settings (1.3 - 3.0): Reduced sensitivity to minor fluctuations while emphasizing significant flow changes. Ideal for high-volatility assets, trending markets, and longer timeframes.
Directional Weighting (0.1 - 1.0, Default: 0.7)
Controls emphasis on price direction versus volume and positioning factors. Applied as: K_{1,weighted} = K_1 \times w_d
Lower Values (0.1 - 0.4): Reduces directional bias, favoring volume-confirmed moves. Optimal for ranging markets where momentum may generate false signals.
Higher Values (0.7 - 1.0): Amplifies directional signals from price vectors and acceleration. Ideal for trending conditions where directional momentum drives price action.
Velocity Weighting (0.1 - 1.0, Default: 0.6)
Scales volume-confirmed price change impact. Applied in: P_{base} = \Delta C \times r_v \times w_v
Lower Values (0.1 - 0.4): Dampens volume spike influence, focusing on sustained pressure patterns. Suitable for illiquid assets or news-sensitive markets.
Higher Values (0.8 - 1.0): Amplifies high-volume directional moves. Optimal for liquid markets where volume provides reliable confirmation.
Volume Length (3 - 20, Default: 5)
Defines lookback period for volume averaging: \overline{V_n} = \frac{1}{n}\sum_{i=0}^{n-1} V_{t-i}
Short Periods (3 - 7): Responsive to recent volume shifts, excellent for intraday analysis.
Long Periods (13 - 20): Smoother averaging, better for swing trading and higher timeframes.
DASHBOARD SYSTEM
Primary Flow Gauge
Bilaterally symmetric visualization displaying normalized flow direction and intensity:
Segment Calculation: n_{active} = \lfloor |N| \times 15 \rfloor
Left Fill: Bearish flow when N < -0.01
Right Fill: Bullish flow when N > 0.01
Neutral Display: Empty segments when |N| \leq 0.01
Visual Style Options:
Matrix: Digital blocks (▰/▱) for quantitative precision
Wave: Progressive patterns (▁▂▃▄▅▆▇█) showing flow buildup
Dots: LED-style indicators (●/○) with intensity scaling
Blocks: Modern squares (■/□) for professional appearance
Pulse: Progressive markers (⎯ to █) emphasizing intensity buildup
Flow Intensity Visualization
30-segment horizontal bar graph with mathematical fill logic:
Segment Fill: For i \in : filled if \frac{i}{29} \leq \frac{S}{100}
Color Coding System:
Orange (S > 66%): High intensity, strong directional conviction
Cyan (33% ≤ S ≤ 66%): Moderate intensity, developing bias
White (S < 33%): Low intensity, neutral conditions
Extreme Detection Indicators
Circular markers flanking the gauge with state-dependent illumination:
Activation: I > 2.0 \land |N| > 0.3
Bright Yellow: Active extreme conditions
Dim Yellow: Normal conditions
Metrics Display
Balance Value: Raw master flow output ( F_{master} ) showing absolute directional pressure
Z-Score Value: Statistical deviation ( z_{bounded} ) indicating historical context
Dynamic Narrative System
Context-sensitive interpretation based on mathematical thresholds:
Extreme Flow: I > 2.0 \land |N| > 0.6
Moderate Flow: 0.3 < |N| \leq 0.6
High Volatility: S > 50 \land |N| \leq 0.3
Neutral State: S \leq 50 \land |N| \leq 0.3
ALERT SYSTEM SPECIFICATIONS
Mathematical Trigger Conditions:
Extreme Bullish: I > 2.0 \land N > 0.6
Extreme Bearish: I > 2.0 \land N < -0.6
High Intensity: S > 80
Bullish Shift: N_t > 0.3 \land N_{t-1} \leq 0.3
Bearish Shift: N_t < -0.3 \land N_{t-1} \geq -0.3
TECHNICAL IMPLEMENTATION AND PERFORMANCE
Computational Architecture
The system employs efficient calculation methods minimizing processing overhead:
Single-pass mathematical operations for all components
Conditional visual rendering (executed only on final bar)
Optimized array operations using direct calculations
Real-Time Processing
The indicator updates continuously during bar formation, providing immediate feedback on changing market conditions. Statistical normalization ensures consistent interpretation across varying market regimes.
Market Applicability
Optimal performance in liquid markets with consistent volume patterns. May require parameter adjustment for:
Low-volume or after-hours sessions
News-driven market conditions
Highly volatile cryptocurrency markets
Ranging versus trending market environments
PRACTICAL APPLICATION FRAMEWORK
Market State Classification
This indicator functions as a comprehensive market condition assessment tool providing:
Trend Analysis: High intensity readings ( S > 66% ) with sustained directional bias indicate strong trending conditions suitable for momentum strategies.
Reversal Detection: Extreme readings ( I > 2.0 ) at key technical levels may signal potential trend exhaustion or reversal points.
Range Identification: Low intensity with neutral flow ( S < 33%, |N| < 0.3 ) suggests ranging market conditions suitable for mean reversion strategies.
Volatility Assessment: High intensity without clear directional bias indicates elevated volatility with conflicting pressures.
Integration with Trading Systems
The normalized output range facilitates integration with automated trading systems and position sizing algorithms. The statistical basis provides consistent interpretation across different market conditions and asset classes.
LIMITATIONS AND CONSIDERATIONS
This indicator combines established technical analysis methods and processes historical data without predicting future price movements. The system performs optimally in liquid markets with consistent volume patterns and may produce false signals in thin trading conditions or during news-driven market events. This indicator is provided for educational and analytical purposes only and does not constitute financial advice. Users should combine this analysis with proper risk management, position sizing, and additional confirmation methods before making any trading decisions. Past performance does not guarantee future results.
Note: The term "kernel" in this context refers to modular calculation components rather than mathematical kernel functions in the formal computational sense.
As quantitative analyst Ralph Vince noted: "The essence of successful trading lies not in predicting market direction, but in the systematic processing of market information and the disciplined management of probability distributions."
— Dskyz, Trade with insight. Trade with anticipation.
Chartlense Dashboard (Data, Trend & Levels)Chartlense Dashboard (Data, Trend & Levels)
Overview
This dashboard is designed to solve two common problems for traders: chart clutter and the manual drawing of support and resistance levels . It consolidates critical data from multiple indicators into a clean table overlay and automatically plots the most relevant S&R levels based on recent price action. The primary goal is to provide a clear, at-a-glance overview of the market's structure and data.
It offers both a vertical and horizontal layout to fit any trader's workspace.
Key Concepts & Calculations Explained
This indicator is more than a simple collection of values; it synthesizes data to provide unique insights. Here’s a conceptual look at how its core components work:
Automatic Support & Resistance (Pivot-Based):
The dashed support (green) and resistance (red) lines are not manually drawn. They are dynamically calculated based on the most recent confirmed pivot highs and pivot lows . A pivot is a foundational concept in technical analysis that identifies potential turning points in price action.
How it works: A pivot high is a candle whose `high` is higher than a specific number of candles to its left and right (the "Pivot Lookback" is set to 5 by default in the settings). A pivot low is the inverse. By automatically identifying these confirmed structural points, the script visualizes the most relevant levels of potential supply and demand on the chart.
Relative Volume (RVOL):
This value in the table is not the standard volume. It measures the current bar's volume against its recent average (specifically, `current volume / 10-period simple moving average of volume`).
Interpretation: A reading above 2.0 (indicated by green text) suggests that the current volume is more than double the recent average. This technique is used to identify significant volume spikes, which can add conviction to breakouts or signal potential market climaxes.
Consolidated Data for Context:
Other values displayed in the table, such as the EMAs (9, 20, 200) , Bollinger Bands (20, 2) , RSI (14) , MACD (12, 26, 9) , and VWAP (on intraday charts), use their standard industry calculations. They are included to provide a complete contextual picture without needing to load each indicator separately, saving valuable chart space.
How to Use This in Your Trading
This dashboard is designed as a tool for confluence and context , not as a standalone signal generator. Here are some ways to integrate it into your analysis workflow:
As a Trend Filter: Before considering a trade, quickly glance at the EMAs and the MACD values in the table. A price above the key EMAs and a positive MACD can serve as a quick confirmation that you are aligned with the dominant trend.
To Validate Breakouts: When the price is approaching a key Resistance level (red pivot line), watch the RVOL value . A reading above 2.0 on the breakout candle adds significant confirmation that the move is backed by strong interest. The same logic applies to breakdowns below a support level.
To Spot Potential Reversals: Confluence is key. For example, if the price is testing a Support level (green pivot line) AND the RSI in the table is approaching oversold levels (e.g., near 30), it can signal a higher probability reversal setup.
About This Indicator
This indicator was developed by the team at ChartLense to help traders declutter their charts and focus on the data that matters. We believe in making complex analysis more accessible and organized. We hope this free tool is a valuable addition to your trading process.
Analyst HUD — Side / ADX / RSI / rVol (bot thresholds)Analyst HUD — Side / ADX / RSI / rVol (bot thresholds)
A clean heads-up display that puts the essentials right on your chart:
✅ Side – quick trend bias (bullish/bearish)
✅ ADX – trend strength, color-coded
✅ RSI – momentum zones (overbought/oversold/neutral)
✅ rVol – relative volume vs average
Built with bot-style thresholds for instant clarity.
No signals, no clutter — just the key metrics you need to spot strong trends and momentum at a glance.
SOLACEThis overlay combines a fast/slow EMA price-action system with rich context tools. Buy prints on the current bar when both EMAs (5 & 21) are below the OHLC average and the 21 EMA crosses below the 5 EMA; Sell prints when both EMAs are above the average and the 21 EMA crosses above the 5 EMA. It also plots MACD, VWAP, Bollinger Bands (20,2), SMA50/200, plus dynamic support/resistance lines from recent swing highs/lows (20/40/60 bars) for confluence. Labels fire same-bar for early entries, and alerts are included for both signals; fractal logic is prepared for future use.
Distribution DaysThis script marks Distribution Days according to the Investors Business Daily method -- a significant decline on higher volume:
(1.) Price has declined > 0.2% from the prior day's close
(2.) Trading volume is greater than the prior day's volume
Lau3%Lau3% — adaptive trend, volatility trail, and smart session zones
Lau3% was created to solve two common problems of many indicators: false triggers during sideways markets and unrealistic levels cluttering the chart.
How it works (conceptually):
- Adaptive baselines adjust their speed to volatility. They respond quickly in impulsive phases and smooth out in calm periods, so the trend representation stays relevant.
- Volatility trail acts as a dynamic barrier. When the market changes regime and price crosses this barrier, a signal may appear. To avoid constant noise, the script validates the move so that weak sideways fluctuations don’t trigger signals.
- Two signal modes:
-- Flip — selective signals only on confirmed regime change.
-- Volatility cross — designed for aggressive trading and frequent entries.
- Session zones highlight realistic support and resistance for the current period. They adapt by distance to price and often match areas where stop orders or large limit orders accumulate.
How to read it:
- Flip mode = trend confirmation style.
- Volatility cross = aggressive breakout style.
- Session zones = pressure/interest areas for market participants.
This logic keeps the script useful in both trending and ranging conditions, without overloading the chart with redundant lines.
Trend-Strong Candle - 3 EMAs with Filters# Trend-Strong Candle - Professional Trading Indicator
## 📊 What It Does
Identifies high-probability entries by combining triple EMA trend analysis with strong candle detection. Only signals when all conditions align for maximum accuracy.
## 🎯 Core Features
- Triple EMA System: Fast (20) / Medium (50) / Slow (200) for trend confirmation
- Strong Candle Filter: ATR-based sizing ensures genuine momentum
- Advanced Filters: EMA close validation + trend stability checks
- Live Alerts: Instant notifications for real-time signals
- Session Filter: Trade only during active EU/US market hours
## ⚡ Quick Setup
Scalping (1-5min): Default settings + enable session filter
Day Trading (15-60min): Default settings work perfectly
Swing Trading (4H+): Increase ATR multiplier to 0.8-1.0
## 📈 Trading Rules
Long Signals: Green triangle below candle
- Strong bullish candle during confirmed uptrend
- All EMAs properly aligned (Fast > Medium > Slow)
Short Signals: Red triangle above candle
- Strong bearish candle during confirmed downtrend
- All EMAs properly aligned (Fast < Medium < Slow)
## ⚠️ Critical Success Factors
1. Always Verify the Trend Yourself
The indicator helps identify signals, but YOU must confirm the larger trend context. Check higher timeframes and overall market structure before entering.
2. Understand the "Big Players"
Strong candles in trend direction usually come from institutional money (banks, funds, algorithms). These create the momentum that retail traders can follow. The indicator catches these institutional moves.
3. Distance to Next Value Level
NEVER enter if price is too close to major resistance/support levels:
- Check distance to round numbers (1.1000, 1.1050, etc.)
- Ensure at least 20-30 pips room to next key level
- You need space for profit - tight levels = limited upside
4. Risk Management
- Stop Loss: 1-2 ATR from entry
- Take Profit: 2-3 ATR target (minimum 1:2 R/R)
- Position Size: Risk max 1-2% per trade
## 💡 Pro Tips
- Best Sessions: London open (8-12 UTC) and NY open (13-17 UTC)
- Avoid: Major news, low liquidity periods, choppy markets
- Multiple Timeframes: Confirm signals on higher timeframe
- Value Levels: Always check daily/weekly support/resistance before entering
## 🎯 Success Formula
Trend Confirmation + Strong Institutional Candle + Distance to Value Levels = High Probability Trade
*
Remember: The indicator finds the signals, but successful trading requires your analysis of trend context and value level positioning. Trade smart, not just frequent.
[Futures OI vs Price Change] (% Change)╔═══════════════════ RUBIXCUBE ══════════════════════╗
This indicator analyses the relationship between Open Interest percentage changes and price percentage changes in futures markets. Inspired by Checkonchain's market structure analysis, it displays this data as coloured column bars to identify different market conditions.
What This Indicator Shows
The indicator plots Open Interest percentage change as column bars, with colours representing four market regimes:
- Blue (Leveraged Rally): OI increases + Price increases (New leveraged long positions)
- Green (Spot Rally): OI decreases + Price increases (Organic buying or short covering)
- Orange (Leveraged Sell-Off): OI increases + Price decreases (New short positions or long liquidations)
- Red (Deleveraging Sell-Off): OI decreases + Price decreases (Position unwinding)
Bar transparency changes based on price movement magnitude. Larger price changes result in more solid bars, while smaller moves appear more transparent.
Data Sources
Aggregated Open Interest data from multiple exchanges:
- Binance USDT, USD & BUSD Perpetuals
- BitMEX USD & USDT Perpetuals
- Kraken USD Perpetuals
Settings
- OI % Change SMA: Smoothing period for Open Interest changes (Default: 7)
- Price % Change SMA: Smoothing period for price changes (Default: 7)
- Base Transparency: Baseline transparency level (0-100)
- Transparency Sensitivity: How much price change affects bar transparency
- Exchange Toggles: Enable/disable individual exchange data
Usage
This indicator helps identify market structure by showing whether price moves are accompanied by increasing or decreasing leveraged positions. Blue and orange bars indicate new leverage entering the market, while green and red bars suggest position reduction or organic spot activity.
╚═════════════════════════════════════════════════╝
Kalman Adjusted Average True Range [BackQuant]Kalman Adjusted Average True Range
A volatility-aware trend baseline that fuses a Kalman price estimate with ATR “rails” to create a smooth, adaptive guide for entries, exits, and trailing risk.
Built on my original Kalman
This indicator is based on my original Kalman Price Filter:
That core smoother is used here to estimate the “true” price path, then blended with ATR to control step size and react proportionally to market noise.
What it plots
Kalman ATR Line the main baseline that turns up/down with the filtered trend.
Optional Moving Average of the Kalman ATR a secondary line for confluence (SMA/Hull/EMA/WMA/DEMA/RMA/LINREG/ALMA).
Candle Coloring (optional) paint bars by the baseline’s current direction.
Why combine Kalman + ATR?
Kalman reduces measurement noise and produces a stable path without the lag of heavy MAs.
ATR rails scale the baseline’s step to current volatility, so it’s calm in chop and more responsive in expansion.
The result is a single, intelligible line you can trade around: slope-up = constructive; slope-down = caution.
How it works (plain English)
Each bar, the Kalman filter updates an internal state (tunable via Process Noise , Measurement Noise , and Filter Order ) to estimate the underlying price.
An ATR band (Period × Factor) defines the allowed per-bar adjustment. The baseline cannot “jump” beyond those rails in one step.
A direction flip is detected when the baseline’s slope changes sign (upturn/downturn), and alerts are provided for both.
Typical uses
Trend confirmation Trade in the baseline’s direction; avoid fading a firmly rising/falling line.
Pullback timing Look for entries when price mean-reverts toward a rising baseline (or exits on tags of a falling one).
Trailing risk Use the baseline as a dynamic guide; many traders set stops a small buffer beyond it (e.g., a fraction of ATR).
Confluence Enable the MA overlay of the Kalman ATR; alignment (baseline above its MA and rising) supports continuation.
Inputs & what they do
Calculation
Kalman Price Source which price the filter tracks (Close by default).
Process Noise how quickly the filter can adapt. Higher = more responsive (but choppier).
Measurement Noise how much you distrust raw price. Higher = smoother (but slower to turn).
Filter Order (N) depth of the internal state array. Higher = slightly steadier behavior.
Kalman ATR
Period ATR lookback. Shorter = snappier; longer = steadier.
Factor scales the allowed step per bar. Larger factors permit faster drift; smaller factors clamp movement.
Confluence (optional)
MA Type & Period compute an MA on the Kalman ATR line , not on price.
Sigma (ALMA) if ALMA is selected, this input controls the curve’s shape. (Ignored for other MA types.)
Visuals
Plot Kalman ATR toggle the main line.
Paint Candles color bars by up/down slope.
Colors choose long/short hues.
Signals & alerts
Trend Up baseline turns upward (slope crosses above 0).
Alert: “Kalman ATR Trend Up”
Trend Down baseline turns downward (slope crosses below 0).
Alert: “Kalman ATR Trend Down”
These are state flips , not “price crossovers,” so you avoid many one-bar head-fakes.
How to start (fast presets)
Swing (daily/4H) ATR Period 7–14, Factor 0.5–0.8, Process Noise 0.02–0.05, Measurement Noise 2–4, N = 3–5.
Intraday (5–15m) ATR Period 5–7, Factor 0.6–1.0, Process Noise 0.05–0.10, Measurement Noise 2–3, N = 3–5.
Slow assets / FX raise Measurement Noise or ATR Period for calmer lines; drop Factor if the baseline feels too jumpy.
Reading the line
Rising & curving upward momentum building; consider long bias until a clear downturn.
Flat & choppy regime uncertainty; many traders stand aside or tighten risk.
Falling & accelerating distribution lower; short bias until a clean upturn.
Practical playbook
Continuation entries After a Trend Up alert, wait for a minor pullback toward the baseline; enter on evidence the line keeps rising.
Exit/reduce If long and the baseline flattens then turns down, trim or exit; reverse logic for shorts.
Filters Add a higher-timeframe check (e.g., only take longs when the daily Kalman ATR is rising).
Stops Place stops just beyond the baseline (e.g., baseline − x% ATR for longs) to avoid “tag & reverse” noise.
Notes
This is a guide to state and momentum, not a guarantee. Combine with your process (structure, volume, time-of-day) for decisions.
Settings are asset/timeframe dependent; start with the presets and nudge Process/Measurement Noise until the baseline “feels right” for your market.
Summary
Kalman ATR takes the noise-reduction of a Kalman price estimate and couples it with volatility-scaled movement to produce a clean, adaptive baseline. If you liked the original Kalman Price Filter (), this is its trend-trading cousin purpose-built for cleaner state flips, intuitive trailing, and confluence with your existing
RSI Trend Navigator [QuantAlgo]🟢 Overview
The RSI Trend Navigator integrates RSI momentum calculations with adaptive exponential moving averages and ATR-based volatility bands to generate trend-following signals. The indicator applies variable smoothing coefficients based on RSI readings and incorporates normalized momentum adjustments to position a trend line that responds to both price action and underlying momentum conditions.
🟢 How It Works
The indicator begins by calculating and smoothing the RSI to reduce short-term fluctuations while preserving momentum information:
rsiValue = ta.rsi(source, rsiPeriod)
smoothedRSI = ta.ema(rsiValue, rsiSmoothing)
normalizedRSI = (smoothedRSI - 50) / 50
It then creates an adaptive smoothing coefficient that varies based on RSI positioning relative to the midpoint:
adaptiveAlpha = smoothedRSI > 50 ? 2.0 / (trendPeriod * 0.5 + 1) : 2.0 / (trendPeriod * 1.5 + 1)
This coefficient drives an adaptive trend calculation that responds more quickly when RSI indicates bullish momentum and more slowly during bearish conditions:
var float adaptiveTrend = source
adaptiveTrend := adaptiveAlpha * source + (1 - adaptiveAlpha) * nz(adaptiveTrend , source)
The normalized RSI values are converted into price-based adjustments using ATR for volatility scaling:
rsiAdjustment = normalizedRSI * ta.atr(14) * sensitivity
rsiTrendValue = adaptiveTrend + rsiAdjustment
ATR-based bands are constructed around this RSI-adjusted trend value to create dynamic boundaries that constrain trend line positioning:
atr = ta.atr(atrPeriod)
deviation = atr * atrMultiplier
upperBound = rsiTrendValue + deviation
lowerBound = rsiTrendValue - deviation
The trend line positioning uses these band constraints to determine its final value:
if upperBound < trendLine
trendLine := upperBound
if lowerBound > trendLine
trendLine := lowerBound
Signal generation occurs through directional comparison of the trend line against its previous value to establish bullish and bearish states:
trendUp = trendLine > trendLine
trendDown = trendLine < trendLine
if trendUp
isBullish := true
isBearish := false
else if trendDown
isBullish := false
isBearish := true
The final output colors the trend line green during bullish states and red during bearish states, creating visual buy/long and sell/short opportunity signals based on the combined RSI momentum and volatility-adjusted trend positioning.
🟢 Signal Interpretation
Rising Trend Line (Green): Indicates upward momentum where RSI influence and adaptive smoothing favor continued price advancement = Potential buy/long positions
Declining Trend Line (Red): Indicates downward momentum where RSI influence and adaptive smoothing favor continued price decline = Potential sell/short positions
Flattening Trend Lines: Occur when momentum weakens and the trend line slope approaches neutral, suggesting potential consolidation before the next move
Built-in Alert System: Automated notifications trigger when bullish or bearish states change, sending "RSI Trend Bullish Signal" or "RSI Trend Bearish Signal" messages for timely entry/exit
Color Bar Candles Option: Optional candle coloring feature that applies the same green/red trend colors to price bars, providing additional visual confirmation of the current trend direction
Bias + VWAP Pullback — v4 (PA + BOS/CHOCH)Simple idea: I identify the trend (bias) from the larger timeframe, and only trade pullbacks to the VWAP/EMA during liquidity (London/New York). When the trend is clear, gold moves strongly, and its pullbacks to the balance lines provide clear opportunities.
Timeframe and Sessions (Cairo Time)
Analysis: H1 to determine the trend.
Implementation: 5m (or 1m if professional).
Trading window:
London Opening: 10:00–12:30
New York Opening: 16:30–19:00
(avoid the rest of the day unless there is exceptional traffic).
Direction determination (BIAS)
On H1:
If the price is above the 200 EMA and the daily VWAP is bullish and the price is above it → uptrend (long-only).
If the price is below the 200 EMA and the daily VWAP is bearish and the price is below it → bearish trend (short-only).
Determine your levels: yesterday's high/low (PDH/PDL) + approximate Asia range (03:00–09:30).
Entry Rules (Setup A: Trend Continuation)
Asia range breakout towards Bias during liquidity window.
Wait for a withdrawal to:
Daily VWAP, or
EMA50 on 5m frame (best if both cross).
Confirmation: Confirmation low/high on 5m (HL buy/LH sell) + clear impulse candle (Body is greater than average of last 10 candles).
Entry:
Buy: When the price returns above VWAP/EMA50 with a confirmation candle close.
Sell: The exact opposite.
Stop Loss (SL): Below/above the last confirmation low/high or ATR(14, 5m) x 1.5 (largest).
Objectives:
TP1 = 1R (Close 50% and move the rest Break-even).
TP2 = 2.5R to 3R or at an important HTF level (PDH/PDL/Bid/Demand Zone).
Entry Rules (Setup B: Reversion to VWAP – “Mean Reversion”)
Use with extreme caution, once daily maximum:
Price deviation from VWAP by more than ~1.5 x ATR(14, 5m) with rejection candles appearing near PDH/PDL.
Reverse entry towards the return of VWAP.
SL small behind rejection top/bottom.
Main target: VWAP. (Don't get greedy — this scenario is for extended periods only.)
News Filtering and Risk Management
Avoid trading 15–30 minutes before/after strong US news (CPI, NFP, FOMC).
Maximum daily loss: 1.5–2% of account balance.
Risk per trade: 0.25–0.5% (if you are learning) or 0.5–1% (if you are experienced).
Do not exceed two consecutive losing trades per day.
Don't chase the market after the opportunity has passed — wait for the next pullback.
Smart Deal Management
After TP1: Move stop to entry point + trail the rest with EMA20 on 5m or ATR Trailing = ATR(14)×1.0.
If the price touches a strong daily level (PDH/PDL) and fails to break, consider taking additional profit.
If VWAP starts to flatten and breaks against the trend on H1, stop trading for the day.
Quick Checklist (Before Entry)
H1 trend is clear and consistent with 200EMA + VWAP.
Penetrating the Asia range towards Bias.
Clean pull to VWAP/EMA50 on 5m.
Confirmation candle and real push.
SL is logical (behind swing/ATR×1.5) and R :R ≥ 1:2.
No red news coming soon.
Example of "ready-made" settings
EMA: 20, 50, 200 on 5m, 200 only on H1.
VWAP: Daily (reset daily).
ATR: 14 on 5m.
Levels: PDH/PDL + Asia Band (03:00–09:30 Cairo).
Gold Notes
Gold is fast and sharp at the open; don't get in early — wait for the draw.
Fakeouts are common before news: it is best to call with the trend after the price returns above/below VWAP.
Don't expect 80% consistent wins every day — the advantage comes from discipline, filtering out bad days, and only withdrawing when you're on the right track.
تعتبر شركة الماسة الألمانية أحد المؤسسات العاملة بالمملكة العربية السعودية ولها تاريخ طويل من الخدمات الكثيرة والمتنوعة التى مازالت تقدمها للكثير من العملاء داخل جميع مدن وأحياء المملكة حيث نقدم أفضل ما لدينا من خلال مجموعة الشركات التالية والتي من خلالها ستتلقي كل ما تحتاج إلية في كل المجال المختلفة فنحن نعمل منذ عام 2015 ولنا سابقات اعمال فى مختلف المجالات الحيوية التى نخدم من خلالها عملائنا ونوفر لهم أرخص الأسعار وبأعلى جودة من الممكن توفرها فى المجالات التالية :-
خدمات تنظيف المنازل والفلل والشقق
خدمات عزل الخزانات تنظيف غسيل صيانة اصلاح
خدمات جلي البلاط والرخام والسيراميك
خدمات نقل العفش عمالة فلبينية مدربة
خدمات مكافحة الحشرات بجدة
كل هذة الخدمات وأكثر نوفرها لكل المتعاقدين بأفضل الطرق مع توفير خطط وبرامج متنوعة لأتمام العمل المسنود إلينا بأفضل وأحدث الطرق الحديثة والعصرية سواء فى شركات النظافة بجدة ومكة المكرمة أو شركات نقل العفش بجدة عمالة فلبينية وباقى الخدمات مثل جلي وتلميع الرخام بمكة وجدة ولا ننسي شركة مكافحة حشرات بجدة التى ساعدت آلاف المواطنين على تنظيف منازلهم من الحشرات بأفضل مبيدات حشرية.
RSI -> PROFABIGHI_CAPITAL🌟 Overview
This RSI → PROFABIGHI_CAPITAL implements an advanced Relative Strength Index with sophisticated dual-layer smoothing capabilities and enhanced visualization for superior momentum analysis and overbought/oversold identification.
It provides Multi-method smoothing system supporting nine different moving average types for RSI refinement , Dual-smoothing architecture enabling comparison between two independently configured smoothed RSI lines , VIDYA volatility-adaptive smoothing for dynamic market condition responsiveness , and Enhanced visual framework with color-coded signals and customizable extreme level zones for comprehensive momentum oscillator analysis.
🔧 Advanced RSI Configuration Framework
- Professional RSI implementation with customizable price source selection and adjustable calculation periods for different market sensitivities
- RSI Source Selection enabling close, high, low, or other price inputs for flexible momentum calculation adaptation
- RSI Length Configuration providing adjustable calculation periods balancing responsiveness versus smoothness for different trading styles
- Extreme Level Management offering configurable overbought and oversold thresholds for personalized signal generation
- VIDYA Volatility Integration using Variable Index Dynamic Average with configurable volatility lookback for adaptive smoothing
- Precision Controls supporting price formatting and decimal precision for accurate momentum measurement display
📊 Multi-Method Smoothing Engine
- Nine Smoothing Options supporting SMA, EMA, WMA, HMA, RMA, LSMA, DEMA, TEMA, and VIDYA methods for comprehensive RSI refinement
- First Layer Smoothing providing primary RSI smoothing with configurable method selection and period adjustment for noise reduction
- Second Layer Smoothing enabling additional smoothing layer with independent method and period configuration for enhanced signal clarity
- Advanced Moving Averages implementing DEMA and TEMA calculations for reduced lag and improved responsiveness
- Hull Moving Average Integration offering HMA smoothing for optimal balance between smoothness and responsiveness
- Linear Regression Smoothing providing LSMA option for trend-following RSI interpretation with mathematical precision
- VIDYA Implementation using volatility-adjusted smoothing that adapts to market conditions automatically
🔄 Dual-Smoothing Comparison System
- Independent Smoothing Layers allowing separate configuration of two different smoothing methods and periods for RSI comparison
- Comparison Mode Activation enabling dual-line display with crossover analysis for enhanced signal generation
- Color-Coded Relationship using green coloring when first smoothed RSI is below second smoothed RSI and red when above
- Crossover Signal Generation providing visual cues for momentum shifts through smoothed RSI line intersections
- Flexible Configuration supporting any combination of smoothing methods for customized momentum analysis
- Signal Validation Framework using dual-smoothing agreement for higher-confidence momentum signals
📈 VIDYA Volatility-Adaptive Implementation
- Volatility Measurement System calculating standard deviation of RSI values over configurable lookback periods for market condition assessment
- Adaptive Smoothing Factor automatically adjusting smoothing intensity based on current market volatility levels
- Alpha Coefficient Calculation using mathematical formulation for optimal smoothing factor determination
- K-Factor Integration implementing volatility ratio for dynamic smoothing adjustment with boundary constraints
- Mathematical Precision ensuring proper VIDYA calculation through error handling and edge case management
- Market Condition Responsiveness providing more smoothing during calm markets and less during volatile periods
🎨 Enhanced Visual Framework
- Dynamic Color Coding System using dark green for extreme overbought conditions, dark red for extreme oversold conditions, and gray for neutral zones
- Dual-Line Visualization displaying primary smoothed RSI with prominent line width and secondary smoothed RSI with thinner reference line
- Comparison Mode Coloring implementing synchronized green/red coloring for both lines based on their relative positions
- Background Raw RSI Display showing unsmoothed RSI as subtle background reference when smoothing is applied
- Extreme Zone Highlighting filling area between overbought and oversold levels with subtle background color for clear zone identification
- Reference Line Framework displaying horizontal lines for extreme high, extreme low, and middle levels with customizable transparency
⚙️ Advanced Signal Generation Logic
- Single-Line Mode Signals generating color-coded momentum signals based on smoothed RSI crossing extreme overbought and oversold thresholds
- Comparison Mode Signals creating crossover-based signals when first smoothed RSI crosses above or below second smoothed RSI
- Extreme Level Detection identifying when smoothed RSI enters overbought territory above extreme high threshold or oversold territory below extreme low threshold
- Momentum Shift Recognition highlighting transitions between bullish and bearish momentum states through color changes
- Signal Persistence Tracking maintaining color states until opposing conditions develop for clear trend identification
- Neutral Zone Management displaying gray coloring when RSI remains between extreme thresholds indicating consolidation periods
🔍 Mathematical Implementation Framework
- RSI Calculation Accuracy using Pine Script's built-in RSI function for precise momentum oscillator computation
- DEMA Mathematical Formula implementing double exponential moving average calculation with proper lag reduction methodology
- TEMA Advanced Calculation using triple exponential moving average formulation for enhanced smoothing with minimal lag
- Null Value Protection ensuring continuous calculation through proper handling of undefined values and edge cases
- Smoothing Fallback Logic providing raw RSI values when smoothing calculations encounter mathematical issues
- Precision Maintenance preserving calculation accuracy across different smoothing methods and market conditions
📊 Professional Display Features
- Configurable Extreme Levels supporting custom overbought and oversold threshold settings for different market environments
- Middle Reference Line displaying 50-level dotted line for momentum direction and strength assessment
- Transparency Controls using appropriate transparency levels for background elements and reference lines
- Line Weight Hierarchy implementing visual hierarchy through different line weights for primary and secondary elements
- Zone Fill Visualization providing subtle background fill between extreme levels for immediate zone identification
- Raw RSI Background Reference showing original unsmoothed RSI when smoothing is applied for comparison purposes
⚡ Performance Optimization Features
- Conditional Plotting displaying elements only when relevant smoothing options are enabled for chart performance
- Efficient Calculation Methods using optimized mathematical formulations for real-time smoothing computation
- Memory Management implementing efficient variable usage and calculation sequences for minimal resource consumption
- Real-Time Updates providing immediate smoothed RSI values and color changes with each new price bar
- Error Prevention Framework incorporating validation and fallback mechanisms for reliable indicator operation
- Timeframe Compatibility supporting multiple timeframe analysis with proper gap handling and data continuity
✅ Key Takeaways
- Advanced RSI implementation with sophisticated dual-layer smoothing using nine different moving average methods for enhanced momentum analysis
- VIDYA volatility-adaptive smoothing providing automatic market condition responsiveness for optimal signal quality in different environments
- Dual-smoothing comparison system enabling crossover analysis between two independently configured smoothed RSI lines for enhanced signal generation
- Professional visualization framework with dynamic color coding, extreme zone highlighting, and configurable reference levels for immediate analysis
- Mathematical precision implementation using proper DEMA, TEMA, and VIDYA calculations with comprehensive error handling and edge case management
- Flexible configuration options supporting different trading styles and market conditions through customizable smoothing methods and extreme level thresholds
- Performance-optimized design with conditional plotting and efficient calculations for real-time momentum analysis without chart performance impact
Multi-Strategy Trading Screener SummaryI only combined famous scripts, all thanks to wonderful scripts and community out there .
ThankYou !
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Core Architecture
Multi-Symbol Analysis: Tracks up to 5 configurable tickers simultaneously
Multi-Timeframe Support: Each symbol can use different timeframes
Real-Time Dashboard: Color-coded table displaying all signals and analysis
Trend Validation: All signals include trend alignment confirmation
Integrated Trading Strategies
1. Breaker Blocks (Order Blocks)
Detects institutional order blocks using swing analysis
Tracks when blocks are broken and become "breaker blocks"
Monitors retests of broken levels
Shows trend alignment (✓ aligned, ⚠️ misaligned)
2. Chandelier Exit
ATR-based trend-following exit system
Provides BUY/SELL signals based on dynamic stop levels
Uses configurable ATR multiplier and lookback period
3. Smart Money Breakout
Channel breakout detection with volatility normalization
Identifies accumulation/distribution phases
Generates persistent BUY/SELL signals on breakouts
4. Trendline Breakout
Dynamic trendline detection using pivot highs/lows
Calculates trendline slopes and breakout points
Provides BUY signals on upward breaks, SELL on downward breaks
Dashboard Columns Explained
Symbol: Ticker being analyzed
Trend: Overall SuperTrend direction (🟢 UP / 🔴 DOWN / ⚪ FLAT)
Timeframe: Analysis timeframe with clock icon
Breaker Block: Type (Bullish/Bearish) with trend alignment indicator
Status: Price position relative to breaker block (Inside/Approaching/Far)
Retests: Number of times the broken level was retested (indicates level strength)
Volume: Volume associated with the order block formation
Chandelier: BUY/SELL signals from Chandelier Exit strategy
Smart Money: BUY/SELL signals from breakout detection
Trendline: BUY/SELL signals from trendline breakouts
Key Features
No HOLD States: All signals show definitive BUY (🟢) or SELL (🔴) only
Persistent Signals: Signals remain active until opposite conditions trigger
Color Coding: Visual distinction between bullish (green) and bearish (red) signals
Trend Alignment: Enhanced accuracy through trend confirmation logic
This screener provides a comprehensive view of market conditions across multiple strategies, helping identify high-probability trading opportunities when signals align.
ma btc Multiple MA Convergence Alertbtc and eth ma15 20 50 200if converge
alert("EMA15, MA20, MA50, MA200 are converging/overlap crossing!", alert.freq_once_per_bar_close)
Guppy MMA [Alpha Extract]A sophisticated trend-following and momentum assessment system that constructs dynamic trader and investor sentiment channels using multiple moving average groups with advanced scoring mechanisms and smoothed CCI-style visualizations for optimal market trend analysis. Utilizing enhanced dual-group methodology with threshold-based trend detection, this indicator delivers institutional-grade GMMA analysis that adapts to varying market conditions while providing high-probability entry and exit signals through crossover and extreme value detection with comprehensive visual mapping and alert integration.
🔶 Advanced Channel Construction
Implements dual-group architecture using short-term and long-term moving averages as foundation points, applying customizable MA types to reduce noise and score-based averaging for sentiment-responsive trend channels. The system creates trader channels from shorter periods and investor channels from longer periods with configurable periods for optimal market reaction zones.
// Core Channel Calculation Framework
maType = input.string("EMA", title="Moving Average Type", options= )
// Short-Term Group Construction
stMA1 = ma(close, st1, maType)
stMA2 = ma(close, st2, maType)
// Long-Term Group Construction
ltMA1 = ma(close, lt1, maType)
ltMA2 = ma(close, lt2, maType)
// Smoothing Application
smoothedavg = ma(overallAvg, 10, maType)
🔶 Volatility-Adaptive Zone Framework
Features dynamic score-based averaging that expands sentiment signals during strong trend periods and contracts during consolidation phases, preventing false signals while maintaining sensitivity to genuine momentum shifts. The dual-group averaging system optimizes zone boundaries for realistic market behavior patterns.
// Dynamic Sentiment Adjustment
shortTermAvg = (stScore1 + stScore2 + ... + stScore11) / 11
longTermAvg = (ltScore1 + ltScore2 + ... + ltScore11) / 11
// Dual-Group Zone Optimization
overallAvg = (shortTermAvg + longTermAvg) / 2
allMAAvg = (shortTermAvg * 11 + longTermAvg * 11) / 22
🔶 Step-Like Boundary Evolution
Creates threshold-based trend boundaries that update on smoothed average changes, providing visual history of evolving bullish and bearish levels with performance-optimized threshold management limited to key zones for clean chart presentation and efficient processing.
🔶 Comprehensive Signal Detection
Generates buy and sell signals through sophisticated crossover analysis, monitoring smoothed average interaction with zero-line and thresholds for high-probability entry and exit identification. The system distinguishes between trend continuation and reversal patterns with precision timing.
🔶 Enhanced Visual Architecture
Provides translucent zone fills with gradient intensity scaling, threshold-based historical boundaries, and dynamic background highlighting that activates upon trend changes. The visual system uses institutional color coding with green bullish zones and red bearish zones for intuitive market structure interpretation.
🔶 Intelligent Zone Management
Implements automatic trend relevance filtering, displaying signals only when smoothed average proximity warrants analysis attention. The system maintains optimal performance through smart averaging management and historical level tracking with configurable MA periods for various market conditions.
🔶 Multi-Dimensional Analysis Framework
Combines trend continuation analysis through threshold crossovers with momentum detection via extreme markers, providing comprehensive market structure assessment suitable for both trending and ranging market conditions with score-normalized accuracy.
🔶 Advanced Alert Integration
Features comprehensive notification system covering buy signals, sell signals, strong bull conditions, and strong bear conditions with customizable alert conditions. The system enables precise position management through real-time notifications of critical sentiment interaction events and zone boundary violations.
🔶 Performance Optimization
Utilizes efficient MA smoothing algorithms with configurable types for noise reduction while maintaining responsiveness to genuine market structure changes. The system includes automatic visual level cleanup and performance-optimized visual rendering for smooth operation across all timeframes.
This indicator delivers sophisticated GMMA-based market analysis through score-adaptive averaging calculations and intelligent group construction methodology. By combining dynamic trader and investor sentiment detection with advanced signal generation and comprehensive visual mapping, it provides institutional-grade trend analysis suitable for cryptocurrency, forex, and equity markets. The system's ability to adapt to varying market conditions while maintaining signal accuracy makes it essential for traders seeking systematic approaches to trend trading, momentum reversals, and sentiment continuation analysis with clearly defined risk parameters and comprehensive alert integration.
Big Candle Trend█ OVERVIEW
The "Big Candle Trend" indicator is a technical analysis tool written in Pine Script® v6 that identifies large signal candles on the chart and determines the trend direction based on the analysis of all candles within a specified period. Designed for traders seeking a simple yet effective tool to identify key market movements and trends, the indicator provides clarity and precision through flexible settings, trend line visualization, and retracement lines on signal candles.
█ CONCEPTS
The goal of the "Big Candle Trend" indicator was to create a tool based solely on the size of candle bodies and their relative positions, making it universal and effective across all markets (stocks, forex, cryptocurrencies) and timeframes. Unlike traditional indicators that often rely on complex formulas or external data (e.g., volume), this indicator uses simple yet powerful price action logic. Large signal candles are identified by comparing their body size to the average body size over a selected period, and the trend is determined by analyzing price changes over a longer period relative to the average candle body size. Additionally, the indicator draws horizontal lines on signal candles, aiding in setting Stop Loss levels or delayed entries.
█ FEATURES
Large Signal Candle Detection: Identifies candles with a body larger than the average body multiplied by a user-defined multiplier, aligned with the trend (if the trend filter is enabled). Signals are displayed as triangles (green for bullish, red for bearish).
Trend Analysis: Determines the trend (uptrend, downtrend, or neutral) by comparing the price change over a selected period (trend_length) to the average candle body size multiplied by a trend strength multiplier. The trend starts when:
Uptrend: The price change (difference between the current close and the close from an earlier period) is positive and exceeds the average candle body size multiplied by the trend strength multiplier (avg_body_trend * trend_mult).
Downtrend: The price change is negative and exceeds, in absolute value, the average candle body size multiplied by the trend strength multiplier.
Neutral Trend: The price change is below the required threshold, indicating no clear market direction.The trend ends when the price change no longer meets the conditions for an uptrend or downtrend, transitioning to a neutral state or switching to the opposite trend when the price change reverses and meets the conditions for the new trend. This approach differs from standard methods as it focuses on price dynamics in the context of candle body size, offering a more intuitive and direct way to gauge trend strength.
Smoothed Trend Line: Displays a trend line based on the average price (HL2, i.e., the average of the high and low of a candle), smoothed using a user-defined smoothing parameter. The trend line reflects the market direction but is not tied to breakouts, unlike many other trend indicators, allowing for more flexible interpretation.
Retracement Lines: Draws horizontal lines on signal candles at a user-defined level (e.g., 0.618). The lines are displayed to the right of the candle, with a width of one candle. For bullish candles, the line is measured from the top of the body (close) downward, and for bearish candles, from the bottom of the body (close) upward, aiding in setting Stop Loss or delayed entries.
Trend Option: Option to enable a trend filter that limits large candle signals to those aligned with the current trend, enhancing signal precision.
Customizable Visualization: Allows customization of colors for uptrend, downtrend, and neutral states, trend line style, and shadow fill between the trend line and price.
Alerts: Built-in alerts for large signal candles (bullish and bearish) and trend changes (start of uptrend, downtrend, or neutral trend).
█ HOW TO USE
Add to Chart: Apply the indicator to your TradingView chart via the Pine Editor or Indicators menu.
Configure Settings:
Candle Settings:
Average Period (Candles): Sets the period for calculating the average candle body size.
Large Candle Multiplier: Multiplier determining how large a candle’s body must be to be considered "large".
Trend Settings:
Trend Period: Period for analyzing price changes to determine the trend.
Trend Strength Multiplier: Multiplier setting the minimum price change required to identify a significant trend.
Trend Line Smoothing: Degree of smoothing for the trend line.
Show Trend Line: Enables/disables the display of the trend line.
Apply Trend Filter: Limits large candle signals to those aligned with the current trend.
Trend Colors:
Customize colors for uptrend (green), downtrend (red), and neutral (gray) states, and enable/disable shadow fill.
Retracement Settings:
Retracement Level (0.0-1.0): Sets the level for lines on signal candles (e.g., 0.618).
Line Width: Sets the thickness of retracement lines.
Interpreting Signals:
Bullish Signal: A green triangle below the candle indicates a large bullish candle aligned with an uptrend (if the trend filter is enabled). A horizontal line is drawn to the right of the candle at the retracement level, measured from the top of the body downward.
Bearish Signal: A red triangle above the candle indicates a large bearish candle aligned with a downtrend (if the trend filter is enabled). A horizontal line is drawn to the right of the candle at the retracement level, measured from the bottom of the body upward.
rend Line: Shows the market direction (green for uptrend, red for downtrend, gray for neutral). Unlike many indicators, the trend line’s color is not tied to its breakout, allowing for more flexible interpretation of market dynamics.
Alerts: Set up alerts in TradingView for large signal candles or trend changes to receive real-time notifications.
Combining with Other Tools: Use the indicator alongside other technical analysis tools, such as support/resistance levels, RSI, moving averages, or Fair Value Gaps (FVG), to confirm signals.
█ APPLICATIONS
Price Action Trading: Large signal candles can indicate key market moments, such as breakouts of support/resistance levels or strong price rejections. Use signal candles in conjunction with support/resistance levels or FVG to identify entry opportunities. Retracement lines help set Stop Loss levels (e.g., below the line for bullish candles, above for bearish) or delayed entries after price returns to the retracement level and confirms trend continuation. Note that large candles often generate Fair Value Gaps (FVG), which should be considered when setting Stop Loss levels.
Trend Strategies: Enable the trend filter to limit signals to those aligned with the dominant market direction. For example, in an uptrend, look for large bullish candles as continuation signals. The indicator can also be used for position pyramiding, adding positions as subsequent large candles confirm trend continuation.
Practical Approach:
Large candles with high volume may indicate strong market participation, increasing signal reliability.
The trend line helps visually assess market direction and confirm large candle signals.
Retracement lines on signal candles aid in identifying key levels for Stop Loss or delayed entries.
█ NOTES
The indicator works across all markets and timeframes due to its universal logic based on candle body size and relative positioning.
Adjust settings (e.g., trend period, large candle multiplier, retracement level) to suit your trading style and timeframe.
Test the indicator on various markets (stocks, forex, cryptocurrencies) and timeframes to optimize its performance.
Use in conjunction with other technical analysis tools to enhance signal accuracy.
Raid & Imbalance Suite (ICT-inspired)**What it is**
Raid & Imbalance Suite is an invite-only indicator that visualizes liquidity raids and fair-value-gap (FVG) context directly on the chart. It is inspired by ICT concepts but is an independent implementation (not affiliated with ICT).
**What it shows**
• Liquidity raid highlights (sweeps)
• FVG / imbalance context overlays
• Light session / structure context for additional clarity
• Intentional minimalism — internal thresholds/logic are not disclosed
**How to use**
• Works on most symbols and timeframes supported by TradingView indicators
• Use as chart context alongside your own plan and risk management
• This tool does not place trades, generate signals, or guarantee outcomes
**Inputs & Alerts**
• Toggles for raids / FVG / sessions
• Basic visual settings
• Optional alerts for newly detected events
**Access**
This is an **invite-only** script. Request access via TradingView messages (username: @ASevilla28). Access is granted manually to approved users.
**Disclaimer**
For educational/charting purposes only. Not financial advice. No performance guarantees. Markets involve risk. Use at your own discretion.
*(The author is not affiliated with or endorsed by any third party referenced by “ICT-inspired”.)*
Price Action By ProfitAlgo.io Price Action Alerts combined with the BackEnd Order Matrix and TrendSync Tool Kit.
ProfitAlgo.io Price Action
A companion tool to the Backend Order Matrix and TrendSync, this indicator helps visualize trade direction with A/B/C/D retracement lines that align with fib retracement levels which can react as a BIG BOUNCE RETEST ENTRY, multi-timeframe support/resistance, and an RSI filter. It’s designed as a guide for bias confirmation, not a signal to enter every mark. Combine it with the Backend Order Matrix (for liquidity/stop-hunt zones) and TrendSync (for trend confirmation) to better spot where stop hunts become opportunities and price action aligns with higher-probability setups.
Price is shown bullish and the retracement lines are defined by the dotted lines. You may color the lines to your discretion to be able to quickly differentiate the different retracments lines on the chart aligning to Fib levels for possible early entries. Here you can anticipate for price to have a significant reaction with placing your stop loss being the Buy-Side Liquidity as show below. Though the BackEnd Order Matrix liquidity can be swept so keep in mind being more patient to wait for the liquidity sweep as the point entry can serve as another approach to minimize risk exposure.
Exiting at the SellSide Liquidity where price can have an reaction to the downside.
Vise Versa for bearish trend following retracement entires.
⚙️ Settings Guide – ProfitAlgo.io Price Action
Retracement Line (A/B/C/D) → Shows potential price action setups where price can have a strong reaction. Having Price above the lines- price can be shown to buy at these levels. If Price is below the lines and the trend is showing bearish the price can be shown to retest and sell at these levels.
Multi-Timeframe S/R → Plots higher-timeframe support and resistance levels for added context.
RSI Filter → Filters entries when RSI conditions are extreme, helping avoid false setups.
Top-Down Analysis (TDA) → Aligns lower-timeframe entries with higher-timeframe structure.
📌 Tip: The TrendSync's trend detection visual representation Together with Backend Order Matrix (for liquidity zones/stop hunts) helps Traders understand trend based trading with liquidity stop hunts which can be used as a entry model that does not happen as many times as the Price Action Tool does for early entries signals. If you would like to read more on how the The BackEnd Order Matrix and TrendSync Simulation Tool works. Feel free to read the articles below.
The How to Use The BackEnd Order Matrix?
The How to Use The TrendSync Simulation Tool?
RSI Divergence + Hidden RSI Divergence + Hidden (TV-like pairing, final)
What it does
This indicator plots RSI and automatically detects both regular and hidden divergences by pairing RSI pivots with price pivots. It supports a TradingView-like loose pairing (within a user-defined bar tolerance) and a strict same-bar pairing. Detected signals are drawn with lines and optional labels on the RSI pane for quick visual verification.
Divergence logic
Regular Bullish (label: Bull)
Price makes a lower low while RSI makes a higher low → potential upward reversal.
Regular Bearish (label: Bear)
Price makes a higher high while RSI makes a lower high → potential downward reversal.
Hidden Bullish (label: H_Bull)
Price makes a higher low while RSI makes a lower low → trend-continuation bias upward.
Hidden Bearish (label: H_Bear)
Price makes a lower high while RSI makes a higher high → trend-continuation bias downward.
All conditions use pivot-to-pivot comparisons with optional equality tolerance for price and RSI to reduce false “equal” mismatches.
Pairing modes
TV-like
Pairs the latest price and RSI pivots if their pivot bars occur within ±tolBars.
A lightweight “pending” buffer allows pairing a newly detected pivot with a recent opposite pivot that arrived a few bars earlier/later (within tolerance).
Same Bar
Price and RSI pivots must occur on the exact same bar to form a pair.
Key inputs
RSI Source & Length: srcRsi, rsiLen (default 14). RSI line and reference levels (70/50/30) can be shown/hidden.
Pivot Window: leftBars, rightBars for both price and RSI pivots.
Pairing: pairMode = TV-like or Same Bar; tolBars for bar tolerance (TV-like only).
Price Pivot Basis: priceMode = High/Low (default) or Close.
Equality Tolerance:
allowEqual (use >=/<=),
priceEpsTks (ticks) for price equality slack,
rsiEps (points) for RSI equality slack.
Visibility: showRSI, showRegular, showHidden, showLabels.
Visuals
Lines (on RSI):
Regular Bearish: red
Regular Bullish: lime
Hidden Bearish: orange
Hidden Bullish: teal
Labels (optional): "Bear", "Bull", "H_Bear", "H_Bull" placed on the RSI series at the second pivot.
Alerts
Four alert conditions are provided and fire when the corresponding divergence is confirmed:
Bear (Regular)
Bull (Regular)
H_Bear (Hidden)
H_Bull (Hidden)
Notes & tips
Divergences are evaluated only when both price and RSI pivots exist and can be paired under the selected mode.
Pivot sensitivity: smaller leftBars/rightBars → earlier but noisier signals; larger values → fewer, more stable pivots.
Tolerance: If you miss valid setups because pivots land a few bars apart, use TV-like with a small tolBars (e.g., 1–2). If you prefer stricter confirmation, use Same Bar.
Equality slack: Use priceEpsTks and rsiEps to avoid rejecting near-equal highs/lows due to tiny differences.
Works on any symbol/timeframe; as with all divergence tools, treat signals as context—combine with trend, structure, and risk management.
ProfitAlgo.io TrendSync SimulationThe TrendSync Simulation is a gradient-based trend-following framework that helps traders quickly identify bullish vs bearish market structure while filtering out short-term noise.
Instead of relying on a single moving average or indicator, TrendSync builds a layered “trend cloud” in 3 different MODES, KUMO, PFA, HMA anchored against a reference band. These layers create a visual gradient that shifts with market direction.
When combined with its color-adaptive candles, you can turn off your candle setting colors within the chart settings of TradingView for the TrendSync color mapping which transforms raw price action into an easy-to-read flow map of institutional momentum.
📊 How It Works
Each layer creates a smooth gradient that shifts with trend direction:
Bullish trends form a rising, green-shaded cloud.
Bearish trends form a descending, red-shaded cloud.
Transitions appear as fading or compressing gradients, signaling potential reversals or consolidations.
Candles are also dynamically colored based on normalized momentum, allowing traders to see directional strength at a glance.
🔑 Key Features
✅ Gradient Cloud – A layered trend structure that visually shifts from bearish → bullish.
✅ Multiple Modes – Choose between KUMO, PFA, or HMA logic for responsiveness vs. smoothness.
✅ Dynamic Trend Candles – Bars adapt color based on momentum strength.
✅ Customizable Visualization – Adjust transparency, colors, and gradient strength to fit your chart style.
✅ Clarity of Direction – Highlights dominant flow while reducing noise from minor fluctuations.
⚙️ Settings Explained
Trend Method (KUMO / PFA / HMA): Controls the type of moving average used for the cloud.
Gradient Colors: Define the shading of bullish vs. bearish zones.
Transparency Controls: Adjust how strong or subtle the gradient cloud appears.
Lookback Length : Longer = smoother trend; shorter = more reactive.
💡 Use Cases
Identify trend bias quickly without switching between multiple indicators.
Confirm entries with liquidity or breakout strategies by aligning with the cloud.
Detect weakening or strengthening momentum via gradient compression.
Avoid trading against dominant higher time-frame flow with trend-colored candles .
⚡ Why It Matters
Markets often look chaotic on raw candlestick charts. TrendSync cuts through that noise by layering moving averages into a visual gradient, revealing institutional momentum in real time. Whether scalping, day trading, or swing trading, TrendSync provides a synchronized view of trend direction that adapts to different trading styles.
⚡ Paired with the Back End Order Matrix, TrendSync provides the clarity of direction after liquidity zones are exposed, creating a complete institutional-style framework inside TradingView.
EXAMPLE 1A
EXAMPLE 1B
EXAMPLE 1C
EXAMPLE 2A
